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← Optimization
Mathematics & Optimization
›
Optimization
›
Continuous Optimization
3,907 papers
Papers per year
2001: 1
2002: 2
2004: 2
2005: 6
2006: 16
2007: 22
2008: 29
2009: 27
2010: 38
2011: 44
2012: 78
2013: 146
2014: 172
2015: 155
2016: 188
2017: 223
2018: 260
2019: 393
2020: 367
2021: 395
2022: 418
2023: 423
2024: 320
2025: 154
2026: 28
Papers
Large-Scale Learning with Fourier Features and Tensor Decompositions
NIPS 2021
A Surrogate Objective Framework for Prediction+Programming with Soft Constraints
NIPS 2021
Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions
NIPS 2021
Dimensionality Reduction for Wasserstein Barycenter
NIPS 2021
Localized Simple Multiple Kernel K-Means
ICCV 2021
Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws
AAAI 2021
Learning local modules in dynamic networks
L4DC 2021
Physarum Powered Differentiable Linear Programming Layers and Applications
AAAI 2021
A Two-Level Decomposition Framework Exploiting First and Second Order Information for SVM Training Problems
JMLR 2021
Normal Integration via Inverse Plane Fitting With Minimum Point-to-Plane Distance
CVPR 2021
Learning the optimal Tikhonov regularizer for inverse problems
NIPS 2021
Comparison of the Finite Element Method, the Multimodal Method and the Transmission-Line Model for the Computation of Vocal Tract Transfer Functions
INTERSPEECH 2021
ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks
ICML 2021
Localization, Convexity, and Star Aggregation
NIPS 2021
Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel
NIPS 2021
SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and Interpolation
AISTATS 2021
Landscape analysis of an improved power method for tensor decomposition
NIPS 2021
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis
NIPS 2021
Speech Decomposition Based on a Hybrid Speech Model and Optimal Segmentation
INTERSPEECH 2021
Global Convergence of Online Optimization for Nonlinear Model Predictive Control
NIPS 2021
Momentum Improves Optimization on Riemannian Manifolds
AISTATS 2021
Making transport more robust and interpretable by moving data through a small number of anchor points
ICML 2021
Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression
NIPS 2021
Reusing Combinatorial Structure: Faster Iterative Projections over Submodular Base Polytopes
NIPS 2021
Robust Auction Design in the Auto-bidding World
NIPS 2021
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